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Target classification by using som type neural networks
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093185.pdf
Date
2000
Author
Doğaner, Mehmet Serol
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https://hdl.handle.net/11511/6094
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Graduate School of Natural and Applied Sciences, Thesis
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In target tracking, standard sensors as radar and EO/IR observe the target with a negligible delay, since the speed of light is much larger than the speed of the target. This contribution studies the case where the ratio of the target and the propagation speed is not negligible, as is the case in sensor networks with microphones, geophones or sonars for instance, where the speed of air, ground waves and water cause a state dependent and stochastic delay of the observations. The proposed approach utilizes a ...
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Target selection is the task of assigning a value or priority to various targets in a scenario. This priority is usually determined by the threat the target poses on the defender in addition to its vulnerability to possible measures to be taken by the defender. In this study, we describe a target selection technique based on neural networks. The utility or value of each target is assumed to be an unknown function acting on certain features of the target such as size, intensity, speed and direction of moveme...
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M. S. Doğaner, “Target classification by using som type neural networks,” Middle East Technical University, 2000.